Introduction to Machine Learning-Welcome
Course Introduction
()
Introduction to Machine Learning-What is Machine Learning?
Welcome
()
Introduction to Machine Learning
()
Python for Machine Learning
()
Supervised vs Unsupervised
()
Regression-Linear Regression
Introduction to Regression
()
Simple Linear Regression
()
Model Evaluation in Regression Models
()
Evaluation Metrics in Regression Models
()
Multiple Linear Regression
()
Classification-K-Nearest Neighbours
Introduction to Classification
()
K-Nearest Neighbours
()
Evaluation Metrics in Classification
()
Classification-Decision Trees
Introduction to Decision Trees
()
Building Decision Trees
()
Classification-Regression Trees (optional )
Regression Trees
Linear Classification-Logistic Regression
Intro to Logistic Regression
()
Logistic regression vs Linear regression
()
Logistic Regression Training
()
Linear Classification-Support Vector Machine
Support Vector Machine
()
Linear Classification-Multiclass Prediction
Multiclass Prediction
Clustering-k-Means Clustering
Intro to Clustering
()
Intro to k-Means
()
More on k-Means
()
Final Exam and Project-Congratulations!
Congratulations!
Final Exam and Project-IBM Digital Badge
IBM Digital Badge
Final Exam and Project-Final Project
Project Scenario